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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2012/2013
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DRPS : Course Catalogue : School of Informatics : Informatics

Undergraduate Course: AI Large Practical (INFR09018)

Course Outline
SchoolSchool of Informatics CollegeCollege of Science and Engineering
Course typeStandard AvailabilityAvailable to all students
Credit level (Normal year taken)SCQF Level 9 (Year 3 Undergraduate) Credits10
Home subject areaInformatics Other subject areaNone
Course website http://www.inf.ed.ac.uk/teaching/courses/ailp Taught in Gaelic?No
Course descriptionA large practical (LP) during the third year is a compulsory part of all AI honours degrees. It is also compulsory for non-graduating students doing AI honours modules unless a student only stays at Edinburgh for a short period. Students on an AI joint ordinary degree do the LP only if they are not taking the CS group project.

Students are divided up into tutorial groups with a demonstrator allocated to each group. Tutorial groups will meet at least once a week at a time of mutual convenience. The LP coordinator and demonstrators will assist students with the planning and organisation of their LP.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Students MUST have passed: Informatics 2A - Processing Formal and Natural Languages (INFR08008) AND ( Informatics 2B - Algorithms, Data Structures, Learning (INFR08009) OR Informatics 2D - Reasoning and Agents (INFR08010))
Co-requisites
Prohibited Combinations Students MUST NOT also be taking Software Engineering Large Practical (INFR09039) OR Computer Science Large Practical (INFR09040)
Other requirements Successful completion of Year 2 of an Informatics Single or Combined Degree, or equivalent by permission of the School.

This course is not available to VUG students.
Additional Costs None
Information for Visiting Students
Pre-requisitesNone
Displayed in Visiting Students Prospectus?No
Course Delivery Information
Delivery period: 2012/13 Semester 1, Not available to visiting students (SS1) Learn enabled:  No Quota:  None
Location Activity Description Weeks Monday Tuesday Wednesday Thursday Friday
CentralLecture1-11 09:00 - 10:50
First Class Week 1, Wednesday, 09:00 - 10:50, Zone: Central. LT3 7 Bristo Square
No Exam Information
Summary of Intended Learning Outcomes
1 - Design and analysis of light-weight research projects.
2 - Plan to manage complex tasks with competing requirements.
3 - Perform comparative studies of alternative approaches to AI problem-solving.
4 - Manage time to complete: a) intermediate and final reports and b) software implementations, to deadlines.
5 - Write and debug a moderate piece of AI program.
6 - Write clear and concise documentation on an independent project.
7 - Assess own abilities and results.
8 - Carry out peer-refereeing and limited literature review.
Assessment Information
Written Examination 0
Assessed Assignments 100
Oral Presentations 0

Assessment
No formal written examination; the assessment is based on practical work and a written report submitted at the end of the project period.
Special Arrangements
None
Additional Information
Academic description Not entered
Syllabus * Gentle introduction to the issues and requirements of the more demanding fourth-year project.
* Experience of reading published papers and identifying their essential content.
* Exercise of reporting on modest pieces of scientific work: students have to explain what they did, and why, and what conclusions they reached, and why, and they have to do this clearly and convincingly.
* Exercise of peer evaluation.* Experience of writing programs to investigate specific questions: students must write well-structured, well-documented programs because they too are acts of scientific communication.

Relevant QAA Computing Curriculum Sections: Artificial Intelligence
Transferable skills Not entered
Reading list Not yet available
Study Abroad Not entered
Study Pattern Lectures 1
Tutorials 12
Timetabled Laboratories 0
Non-timetabled assessed assignments 53
Private Study/Other 34
Total 100
KeywordsNot entered
Contacts
Course organiserMr Vijayanand Nagarajan
Tel: (0131 6)51 3440
Email: vijay.nagarajan@ed.ac.uk
Course secretaryMrs Victoria Swann
Tel: (0131 6)51 7607
Email: Vicky.Swann@ed.ac.uk
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© Copyright 2012 The University of Edinburgh - 14 January 2013 4:08 am